A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment. (2022)
Journal Article
KANIAPAN, S., PASUPULETI, J., NESAN, K.P., ABUBACKAR, H.N., UMAR, H.A., OLADOSU, T.L., BELLO, S.R. and RENE, E.R. 2022. A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment. International journal of environmental research and public health [online], 19(6), article 3427. Available from: https://doi.org/10.3390/ijerph19063427

The impetus to predicting future biomass consumption focuses on sustainable energy, which concerns the non-renewable nature of fossil fuels and the environmental challenges associated with fossil fuel burning. However, the production of rice residue... Read More about A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment..

MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. (2022)
Journal Article
LI, M., WANG, Z., REN, J. and SUN, M. 2022. MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi‑type feature–based strong generalization. Cognitive computation [online], 14(4), pages 1435-1445. Available from: https://doi.org/10.1007/s12559-021-09947-1

With the increasing popularity of short videos on various social media platforms, there is a great challenge for evaluating the aesthetic quality of these videos. In this paper, we first construct a large-scale and properly annotated short video aest... Read More about MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization..

An adaptive fractional-order unscented Kalman filter for Li-ion batteries in the energy storage system. (2022)
Journal Article
CHEN, L., SHUNLI, W., JIANG, H. and FERNANDEZ, C. 2022. An adaptive fractional-order unscented Kalman filter for li-ion batteries in the energy storage system. Indian journal of physics [online], 96(13), pages 3933-3939. Available from: https://doi.org/10.1007/s12648-022-02314-2

Accurate estimation of the state of charge (SOC) can prolong the working life and enhance the safety of energy storage system. Considering the influence of noise and parameter changes in the operating environment, an adaptive fractional-order unscent... Read More about An adaptive fractional-order unscented Kalman filter for Li-ion batteries in the energy storage system..

Application of momentum flux method for the design of an α-shaped flame incinerator fueled with two-component solid waste. (2022)
Journal Article
LIU, X., ZHU, G., ASIM, T. and MISHRA, R. 2022. Application of momentum flux method for the design of an α-shaped flame incinerator fueled with two-component solid waste. Energy [online], 248, article 123647. Available from: https://doi.org/10.1016/j.energy.2022.123647

Kitchen waste and tree branches are two of the most common solid waste materials suitable for on-site disposal. Quantification of combustion characteristics of these waste materials is vital for designing an appropriate incinerator. In this paper, th... Read More about Application of momentum flux method for the design of an α-shaped flame incinerator fueled with two-component solid waste..

Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures. (2022)
Journal Article
FAISAL, N.H., SCOTT, L., BOOTH, F., DUNCAN, S., MCLEOD, A., DROUBI, M.G. and NJUGUNA, J. 2023. Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures. Journal of strain analysis for engineering design [online], 58(2), pages 98-117. Available from: https://doi.org/10.1177/03093247221083210

The auxetic sandwich panels for structures have been designed to provide impact protection. The aim of this work is to modify an auxetic (re-entrant) honeycomb cell to reduce the stress concentrations within the cell structure, and further enhancemen... Read More about Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures..

Optimising crystallisation during rapid prototyping of Fe3O4-PA6 polymer nanocomposite component. (2022)
Journal Article
GUPTA, R., NJUGUNA, J. and PANCHOLI, K. 2022. Optimising crystallisation during rapid prototyping of Fe3O4-PA6 polymer nanocomposite component. Journal of composites science [online], 6(3), article 83. Available from: https://doi.org/10.3390/jcs6030083

Polymer components capable of self-healing can rapidly be manufactured by injecting the monomer (ε-caprolactam), activator and catalyst mixed with a small amount of magnetic nanoparticles into a steel mould. The anionic polymerisation of the monomer... Read More about Optimising crystallisation during rapid prototyping of Fe3O4-PA6 polymer nanocomposite component..

Public-private partnership in Ghana's solar energy industry: the history, current state, challenges, prospects and theoretical perspective. (2022)
Journal Article
AWUKU, S.A., BENNADJI, A., MUHAMMAD-SUKKI, F. and SELLAMI, N. 2022. Public-private partnership in Ghana's solar energy industry: the history, current state, challenges, prospects and theoretical perspective. Energy nexus [online], 6, article 100058. Available from: https://doi.org/10.1016/j.nexus.2022.100058

Public Private Partnerships (PPPs) have been used as a viable tool to accelerate infrastructural development in many countries. In recent years, the repercussions of climate change have heightened the need to adopt cleaner energy sources such as sola... Read More about Public-private partnership in Ghana's solar energy industry: the history, current state, challenges, prospects and theoretical perspective..

Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. (2022)
Journal Article
YAN, Y., REN, J., ZHAO, H., WINDMILL, J.F.C., IJOMAH, W., DE WIT, J. and VON FREEDEN, J. 2022. Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. IEEE transactions on instrumentation and measurement [online], 71, article 6002213. Available from: https://doi.org/10.1109/TIM.2022.3155745

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully... Read More about Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project..

Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine. (2022)
Journal Article
DOKUR, E., ERDOGAN, N., SALARI, M.E., KARAKUZU, C. and MURPHY, J. 2022. Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine. Energy [online], 248, article 123595. Available from: https://doi.org/10.1016/j.energy.2022.123595

As the share of global offshore wind energy in the electricity generation portfolio is rapidly increasing, the grid integration of large-scale offshore wind farms is becoming of interest. Due to the intermittency of wind, the stability of power syste... Read More about Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine..

A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries. (2022)
Journal Article
SHI, H., WANG, L., WANG, S., FERNANDEZ, C., XIONG, X., DABLU, B.E. and XU, W. 2022. A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries. Journal of energy storage [online], 50, article 104309. Available from: https://doi.org/10.1016/j.est.2022.104309

Accurate modeling of thermal characteristics is critical to the safe use and reliable management of lithium-ion batteries. However, limitations in sensors and testing methods make online real-time acquisition of internal temperatures extremely diffic... Read More about A novel lumped thermal characteristic modeling strategy for the online adaptive temperature and parameter co-estimation of vehicle lithium-ion batteries..

Building integrated photovoltaics: the journey so far and future. (2022)
Journal Article
AWUKU, S.A., MUHAMMAD-SUKKI, F. and SELLAMI, N. 2022. Building integrated photovoltaics: the journey so far and future. Energies [online], 15(5): building integrated PV system, article 1802. Available from: https://doi.org/10.3390/en15051802

The road to decarbonization has led to the exploration of sustainable energy sources for domestic and industrial use. Various nations have shown commitment and, hence, set ambitious targets, with the overall aim of cutting down greenhouse gas (GHG) e... Read More about Building integrated photovoltaics: the journey so far and future..

Occurrence and fate of chiral and achiral drugs in estuarine water: a case study of the Clyde estuary, Scotland. (2022)
Journal Article
PETRIE, B. and MOFFAT, C.F. 2022. Occurrence and fate of chiral and achiral drugs in estuarine water: a case study of the Clyde estuary, Scotland. Environmental science process and impacts [online], 24(4), pages 547-556. Available from: https://doi.org/10.1039/D1EM00500F

There is currently a lack of enantiospecific studies on chiral drugs in estuarine environments. In this study, the occurrence and fate of 20 prescription and illicit drugs, metabolites and associated contaminants were investigated in the Clyde Estuar... Read More about Occurrence and fate of chiral and achiral drugs in estuarine water: a case study of the Clyde estuary, Scotland..

Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm. (2022)
Journal Article
LONG, T., WANG, S., CAO, W., REN, P., HE, M. and FERNANDEZ, C. 2022. Collaborative state estimation of lithium-ion battery based on multi-time scale low-pass filter forgetting factor recursive least squares - double extended Kalman filtering algorithm. International journal of circuit theory and applications [online], 50(6), pages 2108-2127. Available from: https://doi.org/10.1002/cta.3250

For the lithium battery management system and real-time safety monitoring, two issues are of great significance, namely, the ability to accurately update the model parameters in real time and to accurately estimate the state of charge and health. In... Read More about Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm..

Material challenges and opportunities in 3D printing for hip implant applications. (2022)
Journal Article
OKOLIE, O., STACHUREK, I., KANDASUBRAMANIAN, B. and NJUGUNA, J. 2022. Material challenges and opportunities in 3D printing for hip implant applications. Recent progress in materials [online], 4(1): 3D printing of engineering materials, article 2201004. Available from: https://doi.org/10.21926/rpm.2201004

There is a current need for tissue and organ repairs, replacement and regeneration for the patients who suffer from diseased/damaged tissues or organs. This situation is continuously on the rise and the supply on this form of therapy does not meet th... Read More about Material challenges and opportunities in 3D printing for hip implant applications..

Enhanced desorption of fluoxetine from polyethylene terephthalate microplastics in gastric fluid and sea water. (2022)
Journal Article
WAGSTAFF, A. and PETRIE, B. 2022. Enhanced desorption of fluoxetine from polyethylene terephthalate microplastics in gastric fluid and sea water. Environmental chemistry letters [online], 20(2), pages 975-982. Available from: https://doi.org/10.1007/s10311-022-01405-0

There are concerns that microplastics act as a vector of pharmaceuticals in the aquatic environment. Most studies have focussed on pharmaceutical adsorption and have not investigated desorption in the various matrices that microplastics enter. Theref... Read More about Enhanced desorption of fluoxetine from polyethylene terephthalate microplastics in gastric fluid and sea water..

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model. (2022)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., FAN, Y., YU, C., JIN, S., FERNANDEZ, C. and STROE, D.-I. 2022. A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model. International journal of electrical power and energy systems [online], 139, article 108020. Available from: https://doi.org/10.1016/j.ijepes.2022.108020

Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for lithium-ion batteries and their model performance. In this study, a novel feedback correction-adaptive Kalman filtering (FC-AKF) method is proposed for the on... Read More about A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model..

Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and CALI, U. 2022. Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. IEEE access [online], 10, pages 18988-18997. Available from: https://doi.org/10.1109/ACCESS.2022.3150359

As the transition to electric mobility is expanding at a rapid pace, operationally feasible and economically viable charging infrastructure is needed to support electrified fleets. This paper presents a co-simulation of optimal electric vehicle suppl... Read More about Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets..

On the mechanical properties of melt-blended nylon 6/ethylene-octene copolymer/graphene nanoplatelet nanocomposites. (2022)
Journal Article
ATTAR, S., CHEN, B., CICALA, G., CATALANOTTI, G., SCALICI, T. and FALZON, B.G. 2022. On the mechanical properties of melt-blended nylon 6/ethylene-octene copolymer/graphene nanoplatelet nanocomposites. Polymer [online], 243, article 124619. Available from: https://doi.org/10.1016/j.polymer.2022.124619

Ethylene-octene copolymer (EOC) with a loading level of 20 wt%, maleated EOC (EOC-g-MA) with a loading level of 3 wt% and graphene nanoplatelets (GnPs) at four different loading levels, i.e., 3 wt%, 5 wt%, 10 wt% and 15 wt% were added to nylon 6 to p... Read More about On the mechanical properties of melt-blended nylon 6/ethylene-octene copolymer/graphene nanoplatelet nanocomposites..

An assessment of renewable energy development in energy mix for Togo. (2022)
Journal Article
KANSONGUE, N., NJUGUNA, J. and VERTIGANS, S. 2022. An assessment of renewable energy development in energy mix for Togo. International journal of sustainable energy [online], 41(8), pages 1037-1056. Available from: https://doi.org/10.1080/14786451.2021.2023150

The Togolese government plans to achieve 100% electrification to all by 2030, to meet the Millennium goals. The Delphi method is used with the experts drawn from policymakers, academic institutions, financial institutions, non-governmental institutio... Read More about An assessment of renewable energy development in energy mix for Togo..

Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models. (2022)
Journal Article
RAJI, I.D., BELLO-SALAU, H., UMOH, I.J., ONUMANYI, A.J., ADEGBOYE, M.A. and SALAWUDEEN, A.T. 2022. Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models. Applied sciences [online], 12(3), article 1186. Available from: https://doi.org/10.3390/app12031186

Hyperparameter tuning is a critical function necessary for the effective deployment of most machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of an ML algorithm in order to improve its overall output performance... Read More about Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models..